Intelligent skynet video quality diagnostic system

Abstract

The invention discloses an intelligent skynet video quality diagnostic system which comprises a front end video capture unit, a skynet central platform and a management terminal. The skynet central platform comprises a video diagnostic server, a database server and a Web server, wherein the video diagnostic server adopts the computer vision algorithm to accurately judge spots, rolling, dim, color casting, abnormal luminance and video signal deficiencies of a video image and give out alarm information. The front end video capture unit is connected with the video diagnostic server through a communication network, the video diagnostic server is respectively connected with the database server and the Web server, and the management terminal accesses the Web server through the Internet. The intelligent skynet video quality diagnostic system can automatically detect and distinguish a plurality of video signal failures such as video definition, stripe interference, the abnormal luminance, the color casting and video deficiencies, can test and accurately locate failure situations, is accurate in system testing and can improve processing speed and reliability of processing results.

Description

technical field [0001] The invention relates to a smart Skynet video quality diagnosis system, which belongs to the technical field of video analysis. Background technique [0002] With the continuous in-depth practice and application of the construction of a safe city, the urban security video surveillance system is being formed from a simple technical means of urban security prevention into a large-scale, comprehensive and very strong video image information system, not only for the construction of "safe city" It has become an important carrier of "smart city". It can not only meet the needs of public security management, urban management, traffic management, emergency command, etc., but also play an irreplaceable role in preventing, discovering, controlling and combating illegal crimes, providing clues for solving cases, and fixing evidence of illegal crimes. It is of great significance to improve the level of urban visual management and the government's emergency respon...

AI Technical Summary

Problems solved by technology

[0004] At present, monitoring systems are mostly used, which have the function of automatically detecting whether the front-end video acquisition unit has video signal output, but for common signal faults such as video blur, snowflakes, scrolling, blur, color cast, picture freezing, and gain imbalance, it cannot automatically Recognition, resulting in the inability to accurately understand the video information when viewing the video in the future

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